Publications

• Microscopic Image Classification Using Sparsity In A Transform Domain And Bayesian Learning (Eusipco 2011)

• Content-adaptive color transform for image compression (ICIP 2010)

• Content-adaptive color transform for image compression (Optical Engineering 2011)
• Image Classification of Human Carcinoma Cells Using Complex Wavelet-Based Covariance descriptors (accepted for publication in Plos One, 2012)
• A general framework for the segmentation of follicular lymphoma virtual slides (Computerized Medical Imaging and Graphics 2012)

Misc.

Software Files

• Software developed within the MIRACLE project will be available here.
• Find MATLAB software for the co-difference and covariance method here.
• A demo website for our cancer cell line classification software can be found here.

Deliverables

• Deliverable 1: WP1 Survey Report
• Deliverable 17: WP4 Survey Report
• A website on Deliverable 23, the first workshop.
• Deliverable 6: WP 2 Segmentation SoA and case study for FL images 
• Deliverable 7: Segmentation of follicular lymphoma images based on Markov Random Fields (MRF)
• Deliverable 2: Best wavelets for FL images 
• Deliverable 3: Covariance method for microscopic
  images
• Deliverable 4: Co-difference method for microscopic
  images 
• Deliverable 5: WP1 Final Report
• Deliverable 8/9: FL image segmentation using covariance and/or co-difference methods